Support Vector Machine Observer Based Fault Detection for Reconfigurable Manipulators

被引:0
|
作者
Zhao Bo [1 ]
Dong Bo [1 ]
Li Yuanchun
机构
[1] Jilin Univ, State Key Lab Automobile Dynam Simulat, Changchun 130022, Peoples R China
关键词
Reconfigurable Manipulators; SVM observer; Fault Detection; ROBOT MANIPULATORS; DIAGNOSIS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel fault detection scheme for reconfigurable manipulators actuators based on support vector machine(SVM) observer which has good ability to estimate any functions is proposed to estimate the unknown term and uncertainty term. The reconfigurable manipulators system is fault-free when the error between true value and predict value is less than the given threshold, otherwise, the system is in failure. Then the fuzzy logic systems are proposed for approximating the interconnection term by using adaptive algorithm. Based on Lyapunov stability theorem, the system stability can be verified. And the simulation results illustrate the effectiveness of the proposed fault detection schemes.
引用
收藏
页码:3979 / 3984
页数:6
相关论文
共 50 条
  • [1] Observer based fault detection for robot manipulators
    Caccavale, F
    Walker, ID
    [J]. 1997 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION - PROCEEDINGS, VOLS 1-4, 1997, : 2881 - 2887
  • [2] Induction machine fault detection using support vector machine based classifier
    Ghate, V.N.
    Dudul, S.V.
    [J]. WSEAS Transactions on Systems, 2009, 8 (05): : 591 - 599
  • [3] Fault detection of oil pump based on classify support vector machine
    Tian, Jingwen
    Gao, Meijuan
    Li, Kai
    Zhou, Hao
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 3040 - +
  • [4] Fault detection based on a robust one class support vector machine
    Yin, Shen
    Zhu, Xiangping
    Jing, Chen
    [J]. NEUROCOMPUTING, 2014, 145 : 263 - 268
  • [5] Support vector machine based fault detection and diagnosis for HVAC systems
    Li J.
    Guo Y.
    Wall J.
    West S.
    [J]. International Journal of Intelligent Systems Technologies and Applications, 2019, 18 (1-2) : 204 - 222
  • [6] Support Vector Machine based Fault Detection & Classification in Smart Grids
    Shahid, N.
    Aleem, S. A.
    Naqvi, I. H.
    Zaffar, N.
    [J]. 2012 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2012, : 1526 - 1531
  • [7] ONLINE FAULT DETECTION OF HRG BASED ON AN IMPROVED SUPPORT VECTOR MACHINE
    Qi, Zi-Yang
    Li, Qing-Hua
    Yi, Guo-Xing
    Xie, Yang-Guang
    Dang, Hong-Tao
    [J]. PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4, 2013, : 316 - 319
  • [8] Design of Reconfigurable Metasurface Based on Support Vector Machine
    Lu, Ying Juan
    Gao, Shang
    Wang, Zheng Xing
    Liang, Jing Cheng
    Cheng, Qiang
    [J]. 2022 IEEE MTT-S INTERNATIONAL MICROWAVE WORKSHOP SERIES ON ADVANCED MATERIALS AND PROCESSES FOR RF AND THZ APPLICATIONS, IMWS-AMP, 2022,
  • [9] Support vector machine for fault detection in transmission line
    Malathi, V.
    Marimuthu, N.S.
    [J]. Engineering Intelligent Systems, 2009, 17 (01): : 13 - 18
  • [10] Sensor fault detection using support vector machine
    Wang, Yonghua
    Li, Benwei
    [J]. Journal of Information and Computational Science, 2012, 9 (10): : 2915 - 2922